CN-122021276-A - Digital twinning-based building post-earthquake state simulation method

CN122021276ACN 122021276 ACN122021276 ACN 122021276ACN-122021276-A

Abstract

The invention discloses a building post-earthquake state simulation method based on digital twinning, and relates to the technical field of digital twinning simulation. The method comprises the steps of constructing a geometric-physical coupling digital twin body of a target building, embedding a nonlinear finite element structure model to obtain an initial digital twin body, deploying a multi-source sensor network in the target building, collecting structure response data before, during and after an earthquake in real time, taking earthquake motion time course data as external excitation input, driving the initial digital twin body to perform dynamic time course simulation to obtain a simulation result, dynamically fusing the structure response data with the simulation result, updating the initial digital twin body in real time, calculating structural damage indexes after the earthquake based on the updated digital twin body, generating an evaluation report, and displaying the post-earthquake state of the building through a three-dimensional visual platform. The method realizes high-fidelity and real-time simulation and evaluation of the structural state of the building after the earthquake action, and improves the accuracy and timeliness of the damage identification after the earthquake.

Inventors

SHI YITONG
JIA LU
KOU HENG
ZHANG XIAO
LI DAGUI
LI XIAOANG
ZHANG YA
JIA JINFENG
MA YUPENG

Assignees

甘肃省地震局（中国地震局兰州地震研究所）

Dates

Publication Date: 20260512
Application Date: 20260120

Claims (10)

1. The method for simulating the post-earthquake state of the building based on digital twinning is characterized by comprising the following specific steps of: constructing a geometric-physical coupling digital twin body of a target building based on three-dimensional geometric data, and embedding a nonlinear finite element structure model to obtain an initial digital twin body; deploying a multi-source sensor network according to the basic data of the target building, and collecting structure response data before, during and after an earthquake in real time; taking the earthquake motion time course data as external excitation input, and driving the initial digital twin body to perform power time course simulation to obtain a simulation result; dynamically fusing the structural response data with the simulation result by adopting a data assimilation algorithm, and updating the initial digital twin body in real time; And calculating structural damage indexes after earthquake based on the updated digital twin body, generating an evaluation report, and displaying the post-earthquake state of the building through a three-dimensional visual platform.
2. The method for simulating the post-earthquake state of a building based on digital twin according to claim 1, wherein the three-dimensional geometric data comprises building information model data or three-dimensional point cloud data, and the geometric-physical coupling digital twin simultaneously characterizes geometric form characteristics and structural mechanical characteristics of a target building.
3. The method for simulating the post-earthquake state of the building based on the digital twin system according to claim 1 is characterized in that the initial digital twin body is verified, the verification index is that the geometric error is smaller than a set first threshold value, the mechanical property error is smaller than a set second threshold value, and the verification is carried out after passing, wherein the first threshold value and the second threshold value are set according to industry standards based on the requirements of application scenes.
4. The method for simulating the post-earthquake state of the building based on the digital twinning according to claim 1 is characterized in that basic data of the target building comprise a BIM model, a design drawing and a material detection report, key vulnerable components of the target building are determined based on the basic data, and a multi-source sensor network is deployed on the key vulnerable components and comprises an accelerometer, a strain gauge and a displacement meter.
5. The method for simulating post-earthquake conditions of a building based on digital twinning according to claim 1, wherein the data assimilation algorithm comprises an extended kalman filter, an unscented kalman filter or a deep learning-based proxy model correction algorithm.
6. The method for simulating the post-earthquake state of a building based on digital twin according to claim 1, wherein model parameters in the initial digital twin, including material stiffness degradation parameters, damping ratios, boundary connection states and local damage factors, are corrected in real time by minimizing residual errors between simulation values and actual measurement values, so that online updating of the digital twin is realized, and updated digital twin consistent with actual structural state trends is obtained.
7. The method for simulating the post-earthquake state of the building based on the digital twin system according to claim 1, wherein outlier rejection and space-time matching pretreatment are carried out on the structural response data, and then assimilation fusion is carried out on the pretreated structural response data and the simulation result, so that data consistency is ensured.
8. The method for simulating the post-earthquake state of a building based on digital twinning according to claim 1, wherein the post-earthquake structural damage indexes comprise an interlayer displacement angle, a plastic hinge development degree, a component damage index, a structural whole ductility ratio, a weak layer position and a damage concentration degree.
9. The method for simulating the post-earthquake state of a building based on digital twinning according to claim 1, further comprising storing whole-process data, model update records and evaluation results of the current earthquake event into a historical case database after post-earthquake simulation evaluation is completed, wherein the method is used for training a machine learning model and improving post-earthquake response prediction and digital twinning initialization level of the similar building.
10. The method for simulating the post-earthquake state of the building based on the digital twin system according to claim 1, wherein the three-dimensional visualization platform is constructed by a WebGL or Unity3D engine, supports integration with a GIS system, and realizes linkage display of the post-earthquake state of the digital twin body of the building group.

Description

Digital twinning-based building post-earthquake state simulation method Technical Field The invention relates to the technical field of digital twin simulation, in particular to a method for simulating a post-earthquake state of a building based on digital twin. Background The existing building post-earthquake state assessment method is mainly divided into two types, namely a traditional field detection method, wherein a detector carries professional equipment into the building to manually check damages such as component cracks, deformation, material peeling and the like, and the overall state is assessed by combining structural mechanics calculation. The method has the obvious defects that firstly, the internal environment of a building after earthquake is complex, the danger coefficient is high, secondary disasters are easy to cause by manual detection, and all key components are difficult to cover, secondly, the detection period is long, the complete evaluation can be completed only by 3-7 days, the timeliness requirement of emergency response cannot be met, thirdly, the evaluation result depends on the experience of detection personnel, the subjectivity is strong, and the precision is difficult to guarantee. The other type is a traditional numerical simulation method, and the response after earthquake is simulated by establishing a building finite element model and inputting earthquake parameters. The method has the problems that on one hand, the model parameters are set based on a design drawing, actual conditions such as building construction deviation, material aging and the like cannot be reflected, so that a large error exists between a simulation result and a real post-earthquake state, on the other hand, the simulation process cannot fuse real-time perceived data after the earthquake, the building damage evolution state cannot be dynamically updated, and the secondary damage risk under the afterearthquake is difficult to accurately predict. At present, the digital twin technology has been primarily applied in the fields of full life cycle management, intelligent manufacturing and the like of buildings, but has a plurality of defects in the field of post-earthquake state simulation of the buildings. Therefore, how to perform high-precision post-earthquake state simulation of a building based on a digital twin technology is a problem to be solved for those skilled in the art. Disclosure of Invention The invention aims to provide a building post-earthquake state simulation method based on digital twinning, which aims to solve the problems in the background technology, integrate digital twinning technology, structural health monitoring data, earthquake motion input and finite element simulation models, and realize high-fidelity, real-time simulation and evaluation of the structural state of a building after earthquake action. In order to achieve the purpose, the invention provides a digital twinning-based building post-earthquake state simulation method, which comprises the following specific steps: constructing a geometric-physical coupling digital twin body of a target building based on three-dimensional geometric data, and embedding a nonlinear finite element structure model to obtain an initial digital twin body; deploying a multi-source sensor network according to the basic data of the target building, and collecting structure response data before, during and after an earthquake in real time; taking the earthquake motion time course data as external excitation input, and driving the initial digital twin body to perform power time course simulation to obtain a simulation result; dynamically fusing the structural response data with the simulation result by adopting a data assimilation algorithm, and updating the initial digital twin body in real time; And calculating structural damage indexes after earthquake based on the updated digital twin body, generating an evaluation report, and displaying the post-earthquake state of the building through a three-dimensional visual platform. Preferably, the three-dimensional geometric data comprises building information model data or three-dimensional point cloud data, and the geometric-physical coupling digital twin simultaneously characterizes geometric form characteristics and structural mechanical characteristics of a target building. Preferably, the method further comprises the step of verifying the initial digital twin body, wherein the verification index is that the geometric error is smaller than a set first threshold value and the mechanical property error is smaller than a set second threshold value, and after verification is passed, the method enters the subsequent step, wherein the first threshold value and the second threshold value are set according to industry standards based on the requirements of application scenes. Preferably, the basic data of the target building comprises a BIM model, a design drawing and a material detection report, a ke